Document Type
Article
Publication Title
Actual Problems of Economics & Law
Publication Date
2019
ISSN
2782-2923
Page Number
1093
Keywords
personal data, privacy, law enforcement
Disciplines
Law | Privacy Law
Abstract
Databases are full of personal information that law enforcement might find useful. Government access to these databases can be divided into five categories: suspect-driven; profile-driven; event-driven; program-driven and volunteer-driven. This chapter recommends that, in addition to any restrictions imposed by the Fourth Amendment (which currently are minimal), each type of access should be subject to its own regulatory regime. Suspect-driven access should depend on justification proportionate to the intrusion. Profile-driven access should likewise abide by a proportionality principle but should also be subject to transparency, vetting, and universality restrictions. Event-driven access should be cabined by the time and place of the event. Program-driven access should be authorized by legislation and by regulations publicly arrived-at and evenly applied. Information maintained by institutional fiduciaries should not be volunteered unless necessary to forestall an ongoing or imminent serious wrong.
Recommended Citation
Christopher Slobogin,
Policing, Databases, and Surveilance: Five Regulatory Categories, 13 Actual Problems of Economics & Law. 1093
(2019)
Available at: https://scholarship.law.vanderbilt.edu/faculty-publications/1127